Triple
T2265248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Florida |
E50128
|
entity |
| Predicate | hasCounty |
P285
|
FINISHED |
| Object |
Lee County
Lee County is a coastal county on Florida’s Gulf Coast known for its beaches, barrier islands, and the city of Fort Myers.
|
E270161
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lee County | Statement: [South Florida, hasCounty, Lee County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee County Context triple: [South Florida, hasCounty, Lee County]
-
A.
Lee County
Lee County is a county in eastern Alabama known for being home to the city of Auburn and Auburn University.
-
B.
Lauderdale County
Lauderdale County is a county in the northwestern part of Alabama, known for its seat in Florence and location along the Tennessee River.
-
C.
Sumter County
Sumter County is a largely rural county in west-central Georgia known for its agricultural economy and the city of Americus as its county seat.
-
D.
Sumter County
Sumter County is a rural county in western Alabama known for its agricultural landscape, small communities, and location along the Mississippi state line.
-
E.
Escambia County
Escambia County is a county in southern Alabama known for its mix of rural communities, timber and agricultural industries, and proximity to the Florida state line.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lee County Triple: [South Florida, hasCounty, Lee County]
Generated description
Lee County is a coastal county on Florida’s Gulf Coast known for its beaches, barrier islands, and the city of Fort Myers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee County Target entity description: Lee County is a coastal county on Florida’s Gulf Coast known for its beaches, barrier islands, and the city of Fort Myers.
-
A.
Lee County
Lee County is a county in eastern Alabama known for being home to the city of Auburn and Auburn University.
-
B.
Lauderdale County
Lauderdale County is a county in the northwestern part of Alabama, known for its seat in Florence and location along the Tennessee River.
-
C.
Sumter County
Sumter County is a largely rural county in west-central Georgia known for its agricultural economy and the city of Americus as its county seat.
-
D.
Sumter County
Sumter County is a rural county in western Alabama known for its agricultural landscape, small communities, and location along the Mississippi state line.
-
E.
Escambia County
Escambia County is a county in southern Alabama known for its mix of rural communities, timber and agricultural industries, and proximity to the Florida state line.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18ed0708190aa3156e9d35120c3 |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17695e6481908bb7e4848a5ffc09 |
completed | March 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69af1a0749148190bb23911440a8ee1e |
completed | March 9, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1a6c684481909458c26e18f0cf3a |
completed | March 9, 2026, 7:07 p.m. |
Created at: March 4, 2026, 7:48 p.m.